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Install in OpenClaw
/install 05-image-to-video
Description
Convert static images into dynamic video clips with motion and subtle effects using Lingya AI image-to-video technology.
README (SKILL.md)
图生视频生成技能
功能介绍
将静态图片转为带动态运镜的短视频片段，适配短剧节奏。
输入参数
- image_url：图片地址（必填）
输出结果
- video_url：生成视频片段地址
使用场景
- 静态画面转动态短剧镜头
- 批量制作视频素材
- 提升短剧视觉流畅度
技术说明
支持通用图生视频模型，需配置 API_KEY、API_BASE、MODEL_NAME。
Usage Guidance
This skill simply forwards the provided image URL to whatever API_BASE you configure and returns the video URL the service responds with. Before installing: 1) Only set API_BASE to an official, trusted Lingya AI (or other) endpoint — a malicious API_BASE can exfiltrate images and your API_KEY. 2) Give the API_KEY minimal permissions and rotate it if possible. 3) Avoid using private or sensitive image URLs unless you trust the service and have reviewed its privacy policy. 4) If you need higher assurance, review the skill.js source yourself (it is short) and verify API_BASE and API responses during testing with non-sensitive images. Note: manifest.json version differs from registry metadata (minor discrepancy) but does not affect behavior.
Capability Analysis
Type: OpenClaw Skill
Name: 05-image-to-video
Version: 1.0.3
The skill is a standard implementation for an image-to-video conversion tool. The logic in skill.js correctly uses environment variables (API_KEY, API_BASE) to make a legitimate POST request to a configured endpoint, and the SKILL.md documentation accurately reflects the code's functionality without any malicious instructions or prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description (image → video) match the implementation. The manifest and SKILL.md declare API_KEY, API_BASE, and MODEL_NAME and the code uses exactly those values to call an /img2video endpoint. No unrelated binaries, credentials, or config paths are requested.
Instruction Scope
SKILL.md describes the required input (image_url) and the need to configure API_KEY/API_BASE/MODEL_NAME. The runtime code follows that scope: it sends image_url to API_BASE/img2video and returns data.video_url. It does not read other files, env vars, or system state.
Install Mechanism
There is no install spec and the skill is effectively instruction+small JS wrapper. Nothing is downloaded or written to disk by an installer. The runtime uses fetch to call the external API.
Credentials
The required environment variables (API_KEY, API_BASE, MODEL_NAME) are appropriate for contacting an external image-to-video service and are declared in the manifest. Caution: API_BASE is arbitrary — if you set it to an attacker-controlled endpoint, the skill will send image_url (and the API_KEY in Authorization header) to that endpoint. Ensure the API_KEY has limited scope and that API_BASE points to a trusted provider. Also be careful when passing private or sensitive image URLs, as they will be transmitted to the configured service.
Persistence & Privilege
The skill is not always:true, does not request persistent system privileges, and does not modify other skills or system-wide config. Autonomous invocation is allowed (default) but that is expected for skills and not in itself a security problem.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install 05-image-to-video - After installation, invoke the skill by name or use
/05-image-to-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
- Updated SKILL.md for a more concise feature description and clarified usage scenarios.
- Simplified technical information; now highlights required environment variables for model configuration.
- Removed the _meta.json file.
v1.0.2
- Updated manifest.json with minor changes.
- No changes to features or user-facing documentation.
v1.0.1
- Initial metadata file (_meta.json) added to the project.
- No changes to skill functionality or documentation.
v1.0.0
- Initial release of the image-to-video skill.
- Converts static image keyframes into dynamic video clips with camera movement and motion effects.
- Supports image input via URL and returns a generated dynamic video URL.
- Enables bulk dynamic video creation for short-form drama content.
- Integrates Lingya AI image-to-video models with flexible model selection and effect customization via environment variables.
Metadata
Frequently Asked Questions
What is 05 Image To Video?
Convert static images into dynamic video clips with motion and subtle effects using Lingya AI image-to-video technology. It is an AI Agent Skill for Claude Code / OpenClaw, with 238 downloads so far.
How do I install 05 Image To Video?
Run "/install 05-image-to-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 05 Image To Video free?
Yes, 05 Image To Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 05 Image To Video support?
05 Image To Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 05 Image To Video?
It is built and maintained by GHwyever (@ghwyever); the current version is v1.0.3.
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